Correction model of Carbon Potential Using AI techniques and mechanism analysis

This paper investigates both the knowledge model and the mechanism model for correcting carbon potential using an oxygen sensor (CPUOS). CPUOS is widely used and there exists a deviation between the true value and the measured value. Therefore it is very important to study the correction model for CPUOS. Experiments are planned and carried out to generate the necessary data. Based on the experimental data we get the knowledge model for CPUOS using support vector machine (SVM). Under the guidance of the knowledge model, we build the mechanism model based on the carbon potential relevant theory. The knowledge model and the mechanism model are corrected and verified by the practical experience.